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How much do internship ai rating jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for internship ai rating in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship AI Rating?

Internship AI Rating positions are roles where interns evaluate, test, and provide feedback on AI models or systems. These interns may assess the quality, accuracy, and fairness of AI outputs, often working with teams to improve machine learning algorithms. The position provides hands-on experience in understanding how AI technologies are developed and refined, making it valuable for students interested in artificial intelligence and data science careers. Duties can include annotating data, running experiments, and analyzing AI performance metrics. These internships help organizations ensure their AI products meet high standards while offering learning opportunities to aspiring professionals.

What types of projects can I expect to work on during an AI Rating internship, and how are tasks typically assigned?

As an AI Rating intern, you can expect to work on tasks such as evaluating machine learning models, annotating datasets, and providing feedback on AI system outputs. Projects often involve collaborating with data scientists, engineers, and other interns to improve the accuracy and fairness of AI algorithms. Tasks are usually assigned based on project needs and your area of study, with regular check-ins and guidance from a supervisor. This hands-on experience offers valuable exposure to real-world AI evaluation processes and fosters teamwork and communication skills.

What are the key skills and qualifications needed to thrive as an AI Rating intern, and why are they important?

To thrive as an AI Rating Intern, you generally need analytical thinking, attention to detail, and a basic understanding of AI concepts, often supported by ongoing studies in computer science or related fields. Familiarity with data annotation tools, AI evaluation platforms, and proficiency in Excel or Python are typically expected. Strong communication, critical reasoning, and the ability to provide objective feedback make candidates stand out in this position. These skills are crucial for ensuring high-quality data labeling and assessment, which directly impacts the performance and reliability of AI systems.
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Infographic showing various Internship Ai Rating job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

PhD Research Intern, Generative AI - 2026

Santa Clara, CA • On-site

NVIDIA
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIAexternal

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Re-posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

US, CA, Santa Clara

Full time

JR2016035

At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.

What you’ll be doing:

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

  • Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.

  • Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

  • Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.

  • Publish research at top conferences and transfer innovations into NVIDIA products.

What we need to see:

  • Currently pursuing a PhD in CS, EE, Robotics, or related fields.

  • Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.

  • Prior publication record and research experience.

  • Strong Python and PyTorch skills.

Ways to stand out from the crowd:

  • Experience with large-scale foundation model training.

  • Research in video models, VLMs, world models, robotics, or autonomous driving.

  • Experience with distributed training, simulation, or embodied AI.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Intern benefits (https://www.nvidia.com/en-us/benefits/interns/) . ​

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .

What Nvidia employees say

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Benefits

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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